ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,201, issued on Oct. 6, was assigned to Amazon Technologies Inc. (Seattle).

"Training machine learning models using privacy preserving fairness regularization" was invented by Ran Wolff (Geva Carmel, Israel) and Morgan Dumitru (London).

According to the abstract* released by the U.S. Patent & Trademark Office: "Devices and techniques are generally described for privacy preserving fairness regularization for machine learning. In some examples, a first machine learning model may be trained for a first predictive task using unrestricted data. First data classified as restricted data may be determined. A second machine learning model may be trained to predict model fairness based at le...